Trading Algorithm & Financial Portfolio Optimization with Python


Trading Algorithm & Financial Portfolio Optimization with Python Certification Training Course Overview

Enroll for the 4-day Trading Algorithm & Financial Portfolio Optimization with Python training course from Koenig Solutions. The course is designed to learn the how people use Python to conduct rigorous financial analysis and pursue algorithmic trading.

Through a blend of hands-on labs and interactive lectures, you will be able to learn fundamentals of Python, and then proceed to learn about the various core libraries used in the Py-Finance Ecosystem, including numpy, pandas, matplotlib, statsmodels, Quantopian, and much more!

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Trading Algorithm & Financial Portfolio Optimization with Python Course schedule & Prices

Course Details Schedule
Live Virtual Classroom (Instructor-Led)
Duration : 4 Days (8 Days for 4 Hours/Day)
Fee : 1,200 (Includes Taxes) 
9 AM - 5 PM (Flexible Time Slots for 4 hours option)






February
8 Hours/Day
4 Hours/Day
01-04
07-10
01-10
07-16
March
8 Hours/Day
4 Hours/Day
01-04
07-10
08-11
01-10
07-16
08-17
April
8 Hours/Day
4 Hours/Day
05-08
11-14
12-15
05-14
11-20
12-21
Client's Location
As per mutual convenience

Classroom training is available in select Cities
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request

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Course Prerequisites

  • Some knowledge of programming (preferably Python)
  • Basic Statistics and Linear Algebra will be helpful


Who Should do Trading Algorithm & Financial Portfolio Optimization with Python Course

Someone familiar with Python who wants to learn about Financial Analysis!

Learning Objectives

  • Use NumPy to quickly work with Numerical Data
  • Use Pandas for Analyze and Visualize Data
  • Use Matplotlib to create custom plots
  • Learn how to use statsmodels for Time Series Analysis
  • Calculate Financial Statistics, such as Daily Returns, Cumulative Returns, Volatility, etc..
  • Use Exponentially Weighted Moving Averages
  • Use ARIMA models on Time Series Data
  • Calculate the Sharpe Ratio
  • Optimize Portfolio Allocations
  • Understand the Capital Asset Pricing Model
  • Learn about the Efficient Market Hypothesis
  • Conduct algorithmic Trading on Quantopian